I am a principal researcher at Microsoft Research New York City and an adjunct professor in the College of Computer Science at the University of Massachusetts Amherst. I am also a member of UMass Amherst's Computational Social Science Institute. I have a BA in computer science from the University of Cambridge, an MS in cognitive science from the University of Edinburgh, and a PhD in machine learning from the University of Cambridge.
My research is in the interdisciplinary field of computational social science. I develop machine learning and natural language processing methods for analyzing the structure, content, and dynamics of social processes. I collaborate with political scientists, sociologists, journalists, and others to understand how organizations function by analyzing publicly available interaction data, including email networks, document collections, press releases, meeting transcripts, and news articles; I have received several National Science Foundation grants, an Intelligence Advanced Research Projects Activity grant, and a grant from the Office of Juvenile Justice and Delinquency Prevention. To complement this research agenda, I also study issues of fairness, accountability, and transparency as they relate to machine learning.
My research has had broad impact in computer science and in the social sciences. In 2010, my work on infinitely deep belief networks won the best paper award at the Artificial Intelligence and Statistics conference; in 2014, I was named one of Glamour magazine's "35 Women Under 35 Who Are Changing the Tech Industry"; in 2015, I was elected to the International Machine Learning Society's Board of Trustees; and in 2016, I was named co-winner of the Borg Early Career Award. I served as one of three program co-chairs for the Neural Information Processing Systems 2017 conference, and I am currently serving as the senior progam chair for the Neural Information Processing Systems 2018 conference.
For over a decade, I have worked to address the underrepresentation of women in computing. To this end, I've co-founded several organizations, including the annual Women in Machine Learning Workshop and two organizations—the Debian Women Project and the GNOME Outreach Program for Women (now expanded into the Outreachy program)—that focus on increasing women's participation in free and open source software development.
Oh, and I really like sloths.